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GRABOSM

OpenStreetMap MCP Server

by GRABOSM

get_tag_suggestions

Generate OpenStreetMap tag suggestions and autocomplete options using Taginfo statistics to help users find correct map tagging values.

Instructions

Get OSM tag suggestions and autocomplete based on Taginfo statistics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesPartial tag input (e.g., "highway", "amenity=rest", "shop=super")
limitNoMaximum number of suggestions (default: 10)
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden but only states the basic function. It doesn't disclose behavioral traits like rate limits, authentication needs, response format, or whether it's read-only/destructive. The mention of 'Taginfo statistics' hints at data source but lacks operational details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste. It's front-loaded with the core purpose and includes the key detail about Taginfo statistics, making it appropriately sized for the tool's complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no annotations and no output schema, the description is incomplete. It doesn't explain return values, error conditions, or practical usage context. Given the sibling tools include similar tag-related functions, more guidance on differentiation would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents both parameters. The description adds no additional meaning beyond implying the 'input' parameter is for partial tags, which is already covered in the schema's examples. Baseline 3 is appropriate as the schema handles parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Get' and the resource 'OSM tag suggestions and autocomplete', specifying it's based on Taginfo statistics. It distinguishes from siblings like 'get_tag_stats' by focusing on suggestions/autocomplete rather than raw statistics, though it doesn't explicitly contrast them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like 'search_by_tags' or 'validate_osm_tag'. The description implies usage for partial inputs but doesn't specify scenarios, prerequisites, or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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